David Winant

Research

AI-assisted data exploration using kernel methods

The goal of my research is to develop new AI techniques for data exploration using kernel methods in order to better assist data analysts.
Aspects of my project include latent space exploration, knowledge incorporation into unsupervised learning schemes, visualisation of high-dimensional data sets and scalability of kernel methods.
A special focus of my research will be on the topic of interpretability and explainability.

Publications